Evidence map›Paper›PMID 28132390›Full record

ArticleBreast cancer research and treatment2017

Impact of self-reported data on the acquisition of multi-generational family history and lifestyle factors among women seen in a high-risk breast screening program: a focus on modifiable risk factors and genetic referral.

Laura H Rosenberger, Ryan Weber, Daniel Sjoberg, Andrew J Vickers, Debra A Mangino, Monica Morrow, Melissa L Pilewskie

Open access · greenAbstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.4field-weighted citation impact, top 29% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Laura H RosenbergerBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY, 10065, USA.
Ryan WeberDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Daniel SjobergDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Andrew J VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, 10065, USA.
Debra A ManginoBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY, 10065, USA.
Monica MorrowBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY, 10065, USA.
Melissa L PilewskieBreast Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, 300 East 66th Street, New York, NY, 10065, USA. pilewskm@mskcc.org.
Memorial Sloan Kettering Cancer Center · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundThe phrase "high-risk for breast cancer" is used to identify various groups at elevated cancer risk, and the appropriate surveillance and risk-reducing strategies differ based on the etiology of risk. Here, we review the utility of patient-reported data to capture women with modifiable lifestyle risk factors and those suitable for genetic counseling referral.

methodsPatient-reported data from a web-based survey were used to capture personal history, multi-generational family history, and lifestyle factors (body mass index, alcohol consumption, physical activity). Responses were tabulated, and percentage of patients who met criteria for possible intervention calculated.

results1277 women completed the survey from October 2014 to December 2015. Women were considered high risk for a combination of the following: family history of breast and/or ovarian cancer (77%), history of atypical hyperplasia or lobular carcinoma in situ (35%), known breast cancer-related gene mutation (11%). Based on self-reported data, 65% qualified for genetic evaluation but 40% reporting no prior testing. Only half of the population met national physical activity recommendations, nearly 40% were overweight/obese, and 18% reported consuming ≥1 alcoholic beverage per day.

conclusionsAmong women followed in a high-risk breast surveillance program, there is considerable opportunity for improved genetic referral and awareness of modifiable lifestyle factors based on self-reported data as 60% of respondents reported a possible area for intervention. While risk reduction associated with lifestyle changes is modest in comparison to chemoprevention or surgery, such changes are practically without risk, minimally expensive, and provide innumerable secondary health benefits.

Indexed as

Genetic CounselingLife StyleSelf ReportAdultBreast NeoplasmsEthnicityFemaleGenetic Predisposition to DiseaseGenetic TestingHumansMass ScreeningMiddle AgedMutationNeoplasm StagingPopulation SurveillanceRisk FactorsBreast cancer riskGenetic testingHealth behaviorLifestyle

Identifiers

PMID28132390
PMCPMC5332545
OpenAlexW2581500993

What OpenQuestion holds

Textmetadata
LicenceTDM
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.